Contextual evaluation for multimedia item posting

ABSTRACT

Approaches presented herein enable evaluating a multimedia item to be posted to a website (e.g., social networking site, forum, blog, etc.) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item. Specifically, in response to a request to post a multimedia item to a website, the multimedia item is analyzed to determine a context of the multimedia item. The context may be derived from specific elements depicted in the multimedia item. Also, an entity (e.g., a person, logo, trademark, brand) may be identified. The preferences related to the entity are retrieved. The context is compared against the preferences of the entity to determine whether a variance exists. When a variance is determined, a censoring action related to the multimedia item may be performed prior to posting the multimedia item.

TECHNICAL FIELD

This invention relates generally to managing multimedia items and, more specifically, to contextual and cognitive assessment of multimedia items for a posting mechanism.

BACKGROUND

Advancements in electronic communication technologies, computer networks and the Internet expose users to a constantly increasing variety of applications and features to engage the interest of a user, such as allowing the user to post and share multimedia items (e.g., photographs, videos, etc.). In these applications, a multimedia content sharing feature can provide the user with the ability to publish or transfer the user's digital photos, videos, and/or other multimedia content online and/or to share them with other users. Multimedia content sharing functionality can be provided through a website or an application. A multimedia content sharing application can allow a user to post photos, videos, and other multimedia content onto a computer system, such as a user's personal computer, and organize the content and/or share the content with other users.

SUMMARY

In general, embodiments of the present invention provide for evaluating a multimedia item to be posted to a website (e.g., social networking site, forum, blog, etc.) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item. Specifically, in response to a request to post a multimedia item to a website, the multimedia item is analyzed to determine a context of the multimedia item. The context may be derived from specific elements depicted in the multimedia item. Also, an entity (e.g., a person, logo, trademark, brand) may be identified. The preferences related to the entity are retrieved. The context is compared against the preferences of the entity to determine whether a variance exists. When a variance is determined, a censoring action related to the multimedia item may be performed prior to posting the multimedia item.

One aspect of the present invention includes a computer-implemented method for automatically evaluating a multimedia item to be posted on a website, the method comprising: analyzing, in response to a request for the multimedia item to be posted to the website, the multimedia item to determine a context of the multimedia item including one or more specific elements depicted in the multimedia item; identifying an entity within the one or more specific elements; comparing the context to one or more preferences related to the entity to determine a variance between the context and the one or more preferences; and performing a censoring action related to the multimedia item prior to posting the multimedia item on the website item when a variance is determined.

Another aspect of the present invention includes a computer system for automatically evaluating a multimedia item to be posted on a website, the computer system comprising: a memory medium comprising program instructions; a bus coupled to the memory medium; and a processor for executing the program instructions, the instructions causing the system to: analyze, in response to a request for the multimedia item to be posted to the website, the multimedia item to determine a context of the multimedia item including one or more specific elements depicted in the multimedia item; identify an entity within the one or more specific elements; compare the context to one or more preferences related to the entity to determine a variance between the context and the one or more preferences; and perform a censoring action related to the multimedia item prior to posting the multimedia item on the website item when a variance is determined.

Yet another aspect of the present invention includes a computer program product for automatically evaluating a multimedia item to be posted on a website, and program instructions stored on the computer readable storage device, to: analyze, in response to a request for the multimedia item to be posted to the website, the multimedia item to determine a context of the multimedia item including one or more specific elements depicted in the multimedia item; identify an entity within the one or more specific elements; compare the context to one or more preferences related to the entity to determine a variance between the context and the one or more preferences; and perform a censoring action related to the multimedia item prior to posting the multimedia item on the website item when a variance is determined.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

These and other features of this invention will be more readily understood from the following detailed description of the various aspects of the invention taken in conjunction with the accompanying drawings in which:

FIG. 1 shows an architecture 10 in which the invention may be implemented according to illustrative embodiments;

FIG. 2 shows a block diagram illustrating an posting mechanism 150 according to illustrative embodiments;

FIG. 3 shows an example multimedia item 170 according to illustrative embodiments;

FIG. 4 shows multimedia item 170 with represented entities and contextual indicators according to illustrative embodiments;

FIG. 5 shows example preference table 200 according to illustrative embodiments; and

FIG. 6 shows a process flowchart 300 for providing contextual and cognitive assessment of multimedia items for a posting mechanism.

The drawings are not necessarily to scale. The drawings are merely representations, not intended to portray specific parameters of the invention. The drawings are intended to depict only typical embodiments of the invention, and therefore should not be considered as limiting in scope. In the drawings, like numbering represents like elements.

DETAILED DESCRIPTION

Illustrative embodiments will now be described more fully herein with reference to the accompanying drawings, in which illustrative embodiments are shown. It will be appreciated that this disclosure may be embodied in many different forms and should not be construed as limited to the illustrative embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the scope of this disclosure to those skilled in the art.

Furthermore, the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of this disclosure. As used herein, the singular forms “a”, “an”, and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. Furthermore, the use of the terms “a”, “an”, etc., do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. Furthermore, similar elements in different figures may be assigned similar element numbers. It will be further understood that the terms “comprises” and/or “comprising”, or “includes” and/or “including”, when used in this specification, specify the presence of stated features, regions, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, regions, integers, steps, operations, elements, components, and/or groups thereof.

Unless specifically stated otherwise, it may be appreciated that terms such as “processing,” “detecting,” “determining,” “evaluating,” “receiving,” or the like, refer to the action and/or processes of a computer or computing system, or similar electronic data center device, that manipulates and/or transforms data represented as physical quantities (e.g., electronic) within the computing system's registers and/or memories into other data similarly represented as physical quantities within the computing system's memories, registers or other such information storage, transmission or viewing devices. The embodiments are not limited in this context.

As stated above, embodiments of the present invention provide for evaluating a multimedia item to be posted to a website (e.g., social networking site, forum, blog, etc.) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item. Specifically, in response to a request to post a multimedia item to a website, the multimedia item is analyzed to determine a context of the multimedia item. The context may be derived from specific elements depicted in the multimedia item. Also, an entity (e.g., a person, logo, trademark, brand) may be identified. The preferences related to the entity are retrieved. The context is compared against the preferences of the entity to determine whether a variance exists. When a variance is determined, a censoring action related to the multimedia item may be performed prior to posting the multimedia item.

A variety of electronic communication mechanisms exist. Some mechanisms such as email, instant message, and the file transfer protocol allow communication of different types of content between particular parties. Other mechanisms, such as social networking sites and video and photo sharing sites, provide users with some mechanisms for widely sharing or distributing multimedia content.

The inventors of the invention described herein have recognized certain deficiencies in known methods for posting multimedia content. With the increasing usage of today's social media platforms, users are more easily able to add multimedia content that could reach broader audiences. However, a subject of a particular multimedia item may not want the item to be posted to a public platform based on a context of the content depicted in the multimedia item. For example, a teacher or judge who is depicted in a photo having an alcoholic drink may not want the photo posted on a social media site to be displayed to others. The approaches described herein provide a seamless way for evaluating a multimedia item to be posted to a website (e.g., social networking site) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item based on its specific elements.

Referring now to FIG. 1, a computerized implementation 10 of an embodiment for evaluating a multimedia item to be posted to a website (e.g., social networking site) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item based on its specific elements will be shown and described. Computerized implementation 10 is only one example of a suitable implementation and is not intended to suggest any limitation as to the scope of use or functionality of embodiments of the invention described herein. Regardless, computerized implementation 10 is capable of being implemented and/or performing any of the functionality set forth hereinabove.

In computerized implementation 10, there is a computer system 12, which is operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well-known computing systems, environments, and/or configurations that may be suitable for use with computer system 12 include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments that include any of the above systems or devices, and the like.

This is intended to demonstrate, among other things, that the present invention could be implemented within a network environment (e.g., the Internet, a wide area network (WAN), a local area network (LAN), a virtual private network (VPN), etc.), a cloud computing environment, a cellular network, or on a stand-alone computer system. Communication throughout the network can occur via any combination of various types of communication links. For example, the communication links can comprise addressable connections that may utilize any combination of wired and/or wireless transmission methods. Where communications occur via the Internet, connectivity could be provided by conventional TCP/IP sockets-based protocol, and an Internet service provider could be used to establish connectivity to the Internet. Still yet, computer system 12 is intended to demonstrate that some or all of the components of implementation 10 could be deployed, managed, serviced, etc., by a service provider who offers to implement, deploy, and/or perform the functions of the present invention for others.

Computer system 12 is intended to represent any type of computer system that may be implemented in deploying/realizing the teachings recited herein. Computer system 12 may be described in the general context of computer system executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, and so on, that perform particular tasks or implement particular abstract data types. In this particular example, computer system 12 represents an illustrative system for evaluating a multimedia item to be posted to a website (e.g., social networking site) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item based on its specific elements. It should be understood that any other computers implemented under the present invention may have different components/software, but can perform similar functions.

Computer system 12 in computerized implementation 10 is shown in the form of a general-purpose computing device. The components of computer system 12 may include, but are not limited to, one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including system memory 28 to processor 16.

Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnects (PCI) bus.

Processing unit 16 refers, generally, to any apparatus that performs logic operations, computational tasks, control functions, etc. A processor may include one or more subsystems, components, and/or other processors. A processor will typically include various logic components that operate using a clock signal to latch data, advance logic states, synchronize computations and logic operations, and/or provide other timing functions. During operation, processing unit 16 collects and routes signals representing inputs and outputs between external devices 14 and input devices (not shown). The signals can be transmitted over a LAN and/or a WAN (e.g., T1, T3, 56 kb, X.25), broadband connections (ISDN, Frame Relay, ATM), wireless links (802.11, Bluetooth, etc.), and so on. In some embodiments, the signals may be encrypted using, for example, trusted key-pair encryption. Different systems may transmit information using different communication pathways, such as Ethernet or wireless networks, direct serial or parallel connections, USB, Firewire®, Bluetooth®, or other proprietary interfaces. (Firewire is a registered trademark of Apple Computer, Inc. Bluetooth is a registered trademark of Bluetooth Special Interest Group (SIG)).

In general, processing unit 16 executes computer program code, such as program code for evaluating a multimedia item to be posted to a website (e.g., social networking site) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item based on its specific elements, which is stored in memory 28, storage system 34, and/or program/utility 40. While executing computer program code, processing unit 16 can read and/or write data to/from memory 28, storage system 34, and program/utility 40.

Computer system 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer system 12, and it includes both volatile and non-volatile media, removable and non-removable media.

System memory 28 can include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and/or cache memory 32. Computer system/server 12 may further include other removable/non-removable, volatile/non-volatile computer system storage media, (e.g., VCRs, DVRs, RAID arrays, USB hard drives, optical disk recorders, flash storage devices, and/or any other data processing and storage elements for storing and/or processing data). By way of example only, storage system 34 can be provided for reading from and writing to a non-removable, non-volatile magnetic media (not shown and typically called a “hard drive”). Although not shown, a magnetic disk drive for reading from and writing to a removable, non-volatile magnetic disk (e.g., a “floppy disk”), and an optical disk drive for reading from or writing to a removable, non-volatile optical disk such as a CD-ROM, DVD-ROM, or other optical media can be provided. In such instances, each can be connected to bus 18 by one or more data media interfaces. As will be further depicted and described below, memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium including, but not limited to, wireless, wireline, optical fiber cable, radio-frequency (RF), etc., or any suitable combination of the foregoing.

Program/utility 40, having a set (at least one) of program modules 42, may be stored in memory 28 by way of example, and not limitation. Memory 28 may also have an operating system, one or more application programs, other program modules, and program data. Each of the operating system, one or more application programs, other program modules, and program data or some combination thereof, may include an implementation of a networking environment. Program modules 42 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.

Computer system/server 12 may also communicate with one or more external devices 14 such as a keyboard, a pointing device, a display 24, etc.; one or more devices that enable a consumer to interact with computer system/server 12; and/or any devices (e.g., network card, modem, etc.) that enable computer system/server 12 to communicate with one or more other computing devices. Such communication can occur via I/O interfaces 22. Still yet, computer system/server 12 can communicate with one or more networks such as a local area network (LAN), a general wide area network (WAN), and/or a public network (e.g., the Internet) via network adapter 20. As depicted, network adapter 20 communicates with the other components of computer system/server 12 via bus 18. It should be understood that although not shown, other hardware and/or software components could be used in conjunction with computer system/server 12. Examples include, but are not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.

Referring now to FIG. 2, a block diagram 140 describing the functionality discussed herein according to an embodiment of the present invention is shown. As shown, posting mechanism 150 includes receiving component 152, analysis component 154, references component 156, censoring component 158, and posting component 160. It is understood that the teachings recited herein may be practiced within any type of computing environment (e.g., computer system 12). To this extent, the teachings recited herein may be practiced within a stand-alone computer system or within a networked computing environment (e.g., a client-server environment, peer-to-peer environment, distributed computing environment, cloud computing environment, and/or the like). If the teachings recited herein are practiced within a networked computing environment, each physical server need not have a posting mechanism (hereinafter “system 72”). Rather, system 72 could be loaded on a server or server-capable device that communicates (e.g., wirelessly) with the physical server to provide beacon diagnosis therefor. Regardless, as depicted, system 72 can be implemented as program/utility 40 on computer system 12 of FIG. 1 and can enable the functions recited herein. It is further understood that system 72 may be incorporated within or work in conjunction with any type of system that receives, processes, and/or executes commands with respect to IT resources in a networked computing environment. Such other system(s) have not been shown in FIG. 2 for brevity purposes.

Referring again to FIGS. 1 and 2, receiving component 152 of system 72, as executed by computer system/server 12, is configured to receive a request to post a multimedia item to a website (e.g., social networking site). The multimedia item may be, for example, still digital graphics or photographs, as well as video segments, computer display screen images, pages (e.g., Web pages, office application pages, such as slides from PowerPoint® software from Microsoft Corporation or pages from word processing software, etc.), or the like. A photo will be used as an exemplary multimedia item in the discussion below. This example is not intended to be limiting, but is used only for convenience and clarity.

FIG. 3 shows an example multimedia item 170 (e.g., photo) depicting three friends on vacation in Paris, France. The ladies in the photo are having fun sightseeing during a day in Paris near the Eiffel Tower. The lady on the far left (Susan) wishes to post the photo to a social networking site so that her friends and family back in the U.S. can share in the fun. The lady next to Susan (in the middle) in the photo is Jane Jones, a famous celebrity enjoying some time off with her friends.

Analysis component 154 of system 72, as executed by computer system/server 12, is configured to perform multimedia item processing techniques on a multimedia item to determine a context of the multimedia item. For example, analysis component 154 may use known image processing techniques to determine a context of a photo. Analysis component 154 may interrogate the metadata of a multimedia item to determine this kind of information. For example, the date, time, and location in which a photo was captured may provide context for the photo. Along with the date and time of capture, a typical modern smartphone can embed geospatial metadata in each photo it takes. The geospatial metadata typically includes global positioning system (GPS) coordinates corresponding to the place of capture of the photo, but may also include local weather, local attractions, local events, or the like, at the time of capture of the corresponding photo.

The specific elements depicted in the multimedia item may provide additional context of the item. In an embodiment, analysis component 154 may identify one or more entities (e.g., person or particular element such as a logo, trademark, brand, etc.) and contextual indicators (beverages, setting indicators (e.g., Eiffel Tower), religious icons, etc.) depicted in the item. For example, a photo may include several people posing for a photo as they attend a football game. One person may be holding a soda and a bag of popcorn while wearing a sweatshirt emblazoned with a logo. A football goal post may be visible in the background. In this example, the people, soda, bag of popcorn, goal post, and logo are specific elements (e.g., entities and contextual indicators) which provide context to the photo.

FIG. 4 shows a multimedia item (i.e., photo 170) with represented entities and contextual indicators. As shown, FIG. 4 depicts friends 172A-C (including Susan 172A and Jane Jones 172B) sightseeing near the Eiffel Tower in Paris. One of the friends, Jane Jones 172B, is depicted drinking soda 182. Jane Jones 172B is a celebrity and she endorses ACME brand of soda. However, soda 182 is not the ACME brand of soda.

In an embodiment, analysis component 154 may determine one or more entities using known image processing techniques such as facial and image recognition technologies. Facial recognition technology may be used to identify or verify a person from a digital image or a video frame from a video source. One of the ways the technology accomplishes this is by comparing selected facial features from the image and a set of reference photos, such as those stored on a social networking site.

Furthermore, analysis component 154 is configured to employ known techniques such as image recognition technology to identify any number of items depicted in the photo. Image recognition is the process of identifying and detecting an object or a feature in a digital image or video. In addition, a user may also add keywords or other metadata to a photo. For example, a user can include the subject, names of people in the photo, location, a description of the location, and other relevant information by tagging the photo.

As discussed, one or more persons may be identified in photos using a combination of facial recognition, metadata interrogation, or other techniques. Analysis component 154 initiates a cognitive assessment for each identified person. For example, analysis component 154 may employ known image processing techniques to dynamically detect contextual indicators, explicit material, inappropriate content, facial expression recognition, clothing recognition, body posture, and the like. The inappropriate content may be defined, for example, in accordance with user-defined, historical baseline, and/or industry standards based on one or more user/company preferences.

Referring back to FIG. 4, Susan 172A wishes to post photo 170 to a social networking site to share with others. Using facial recognition technology, analysis component 154 is able to identify Jane Jones 172B, an entity. Using known image processing techniques, analysis component 154 is able to identify contextual indicators such as the Eiffel Tower 190 and soda 182 being consumed by Jane 172B.

Preferences component 156 of system 72, as executed by computer system/server 12, is configured to determine any preferences related to one or more entities depicted in a multimedia item. In an embodiment, an entity may include a person. An entity may also include any specific elements that can be associated with a company (logo, trademark, etc.) or brand owner (e.g., brand). For example, a shirt containing a company's logo or a shirt of a particular brand.

An entity's preferences may be stored in a profile or preferences database. The preferences may relate to the content (e.g., people or objects), date, time of day, location, setting, body posture, facial expression, clothing, multimedia type (photo, video, etc.), or the like of the multimedia item. In an embodiment, preferences of a person/company may explicitly provide the types of content that the entity does not want to be associated with. For example, a person identified in a particular photo may only allow photos in which his/her eyes are fully open (i.e., not closed or half-closed), smiling, fully attired, and not captured in a location known to sell alcoholic beverages to be posted to a website.

FIG. 5 shows example preference table 200 having the following columns: name, entity, preference description, and censoring action. Preference table 200 is for exemplary purposes only and not intended to be limiting. As shown, preference table 200 includes two rows for Jane Jones 172B.

In an embodiment, preferences may be automatically generated based on a historical baseline associated with the entity. For example, a website (e.g., photo-sharing site, social networking site, etc.), allows users to post photos and tag people in the photos. The photos that a user has posted, and the particular people who appear in those photos, can provide a historical baseline for those appearing in the photos. For example, in photos that a given user has posted, 20 different people might be tagged, and 15 of those people might appear particularly frequently. One of those people is a woman who is an elementary school teacher, a friend of the user. Photos captured depicting the teacher include conservative locations (e.g., school, church, public events, etc.) in which she is nicely attired. These photos can provide a historical baseline context for the teacher. In addition, any other content that depicts or discusses the entity (posts, “likes”, etc.) may be evaluated when compiling the historical baseline. Since she is a teacher, it is important for her to maintain a respected reputation in the community. She likely would not appreciate someone posting a photo of her in an unflattering location or setting.

In yet another example, an entity may include a company's product or company logo. A company's preferences regarding how its product(s) and logo(s) are depicted may vary based on the type of company. A company having a conservative reputation may define its preferences so that no product or logo associated with the company depicted in a multimedia item that may be considered inappropriate or offensive to some can be posted without consent from someone authorized by the company (e.g., company administrator, press release coordinator, etc.). Alternatively, preferences of a more liberal company may not be defined as stringently. In another embodiment, preferences related to a company may also be derived (in whole or in part) from industry standards. For example, preferences for a particular company may be derived based on the defined preferences of other similar companies (e.g., retail industry, manufacturer of sports products, etc.).

Censoring component 158 of system 72, as executed by computer system/server 12, is configured to compare, for an identified entity, the determined context of the multimedia item with preferences of the respective entity. If a variance exists between the two (e.g., one or more preferences are not met), censoring component 158 is configured to perform a censoring action. The type of censoring action may be based upon the type of multimedia item, entity, type of entity (e.g., person, object, logo, etc.), entity preference(s), industry standard, or the like. In an embodiment, censoring component 158 may disallow the posting of the multimedia item. In another embodiment, censoring component 158 may request permission from the entity to allow the posting of the multimedia item. The request may be made via instant message or alert (e.g., in a social networking site), email message, text message, or the like. If an approval is not received, censoring component 158 may not allow the posting of the item. If approval is received, posting component 160 of system 72, as executed by computer system/server 12, is configured to post the multimedia item.

In yet another embodiment, censoring component 158 may obscure (e.g., blur) or remove the entity from the multimedia item using a known method prior to posting the multimedia item. For example, a manufacturer of a particular product may wish its product to be blurred in a photo prior to posting the photo when a variance is determined between the determined context of the photo and the define preferences of the manufacturer. In this example, posting component 160 is configured to post the photo once the product has been blurred.

Referring back to FIGS. 4-5, Susan 172A requests to post photo 170 to a social networking site. The photo includes Jane Jones 172B holding soda 182. The preferences of Jane Jones 172B, as shown in reference table 200, indicate that Jane does not want a multimedia item depicting her to be posted to a social media site if she is holding/drinking a brand of soda different than ACME brand, the brand of soda that she endorses. Therefore, the photo will not be posted due to her preferences and the context of the photo.

Referring now to FIG. 6, in conjunction with FIGS. 1 and 2, an implementation of a process 300 for evaluating a multimedia item to be posted to a website (e.g., social networking site) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item based on its specific elements is shown. At step 302, a request to post a multimedia item to a website is received. At step 304, in response to the request, the multimedia item is analyzed to determine a context of the multimedia item. The context includes a content of the multimedia item. The context may include the mental state, posture, and/or behavior of individuals in the multimedia item. In addition, any violence or illicit activity may be determined using known methods. At step 306, one or more entities are identified in the content. At step 308, preferences related to each identified entity are retrieved. At step 310, the context is compared against the preferences of each identified entity to determine whether a variance exists. At step 312, based on the comparison, a censoring action related to the multimedia item prior to posting the multimedia item may be performed when a variance is determined.

Process flowchart 300 of FIG. 6 illustrates the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the blocks might occur out of the order depicted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently. It will also be noted that each block of flowchart illustration can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Some of the functional components described in this specification have been labeled as systems or units in order to more particularly emphasize their implementation independence. For example, a system or unit may be implemented as a hardware circuit comprising custom VLSI circuits or gate arrays, off-the-shelf semiconductors such as logic chips, transistors, or other discrete components. A system or unit may also be implemented in programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices or the like. A system or unit may also be implemented in software for execution by various types of processors. A system or unit or component of executable code may, for instance, comprise one or more physical or logical blocks of computer instructions, which may, for instance, be organized as an object, procedure, or function. Nevertheless, the executables of an identified system or unit need not be physically located together, but may comprise disparate instructions stored in different locations which, when joined logically together, comprise the system or unit and achieve the stated purpose for the system or unit.

Further, a system or unit of executable code could be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs, and across several memory devices. Similarly, operational data may be identified and illustrated herein within modules, and may be embodied in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed over different locations including over different storage devices and disparate memory devices.

Furthermore, systems/units may also be implemented as a combination of software and one or more hardware devices. For instance, program/utility 40 may be embodied in the combination of a software executable code stored on a memory medium (e.g., memory storage device). In a further example, a system or unit may be the combination of a processor that operates on a set of operational data.

As noted above, some of the embodiments may be embodied in hardware. The hardware may be referenced as a hardware element. In general, a hardware element may refer to any hardware structures arranged to perform certain operations. In one embodiment, for example, the hardware elements may include any analog or digital electrical or electronic elements fabricated on a substrate. The fabrication may be performed using silicon-based integrated circuit (IC) techniques, such as complementary metal oxide semiconductor (CMOS), bipolar, and bipolar CMOS (BiCMOS) techniques, for example. Examples of hardware elements may include processors, microprocessors, circuits, circuit elements (e.g., transistors, resistors, capacitors, inductors, and so forth), integrated circuits, application specific integrated circuits (ASIC), programmable logic devices (PLD), digital signal processors (DSP), field programmable gate array (FPGA), logic gates, registers, semiconductor devices, chips, microchips, chip sets, and so forth. However, the embodiments are not limited in this context.

Any of the components provided herein can be deployed, managed, serviced, etc., by a service provider that offers to deploy or integrate computing infrastructure with respect to a process for evaluating a multimedia item to be posted to a server (e.g., social networking site) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item based on its specific elements. Thus, embodiments herein disclose a process for supporting computer infrastructure, comprising integrating, hosting, maintaining, and deploying computer-readable code into a computing system (e.g., computer system 12), wherein the code in combination with the computing system is capable of performing the functions described herein.

In another embodiment, the invention provides a method that performs the process steps of the invention on a subscription, advertising, and/or fee basis. That is, a service provider, such as a Solution Integrator, can offer to create, maintain, support, etc., a process for evaluating a multimedia item to be posted to a website (e.g., social networking site) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item based on its specific elements. In this case, the service provider can create, maintain, support, etc., a computer infrastructure that performs the process steps of the invention for one or more customers. In return, the service provider can receive payment from the customer(s) under a subscription and/or fee agreement, and/or the service provider can receive payment from the sale of advertising content to one or more third parties.

Also noted above, some embodiments may be embodied in software. The software may be referenced as a software element. In general, a software element may refer to any software structures arranged to perform certain operations. In one embodiment, for example, the software elements may include program instructions and/or data adapted for execution by a hardware element, such as a processor. Program instructions may include an organized list of commands comprising words, values, or symbols arranged in a predetermined syntax that, when executed, may cause a processor to perform a corresponding set of operations.

The present invention may also be a computer program product. The computer program product may include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention.

The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.

Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.

Computer readable program instructions for carrying out operations of the present invention may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.

These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus, or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

It is apparent that there has been provided herein approaches to evaluate a multimedia item to be posted to a website (e.g., social networking site) to determine whether a censoring action needs to be performed on the multimedia item prior to posting the multimedia item based on its specific elements. While the invention has been particularly shown and described in conjunction with exemplary embodiments, it will be appreciated that variations and modifications will occur to those skilled in the art. Therefore, it is to be understood that the appended claims are intended to cover all such modifications and changes that fall within the true spirit of the invention. 

What is claimed is:
 1. A computer-implemented method for automatically-preventing dissemination of unwanted personal information via a multimedia item to be posted on a website, the method comprising: analyzing, by at least one computer device in response to a request for the multimedia item to be posted to the web site by a posting user, the multimedia item to determine a context of the multimedia item including one or more specific elements depicted in the multimedia item; identifying, by the at least one computer device, an entity within the one or more specific elements, the entity being a non-posting user; comparing, by the at least one computer device, the context to a plurality of preferences related to the entity to automatically detect whether there is a variance between the context and the plurality of preferences, wherein each preference of the plurality of preferences specifies a different element of a group of pre-identified elements that a subject does not want to be associated with, and wherein variances are determined in cases in which the at least one computer device automatically detects that there is at least one element of the group of pre-identified elements specified by the subject that the subject does not want to be associated within a set of elements depicted in the multimedia item with the subject; performing, by the at least one computer device, a censoring action of a first type on a visible user separable element of the one or more specific elements that is displayed with the entity in the multimedia item prior to posting the multimedia item on the website when a variance is automatically detected that indicates that the visible user separable element is one of the pre-identified elements of a first type that the subject does not want to be associated with; and performing, by the at least one computer device, a different censoring action of a second type on a visible user separable element of the one or more specific elements that is displayed with the entity in the multimedia item prior to posting the multimedia item on the website when a variance is automatically detected that indicates that the visible user separable element is one of the pre-identified elements of a second type that the subject does not want to be associated with.
 2. The computer-implemented method of claim 1, wherein the entity is selected from a group consisting of a person, logo, trademark, and brand.
 3. The computer-implemented method of claim 2, wherein the entity is a person and the context includes a cognitive assessment of the person performed based on a social media profile of the person.
 4. The computer-implemented method of claim 1, wherein the censoring action and the different censoring action are each selected from a group consisting of disallowing the posting of the multimedia item, sending a request for permission for an approval to post the multimedia item, obscuring the entity from the multimedia item, and removing the entity from the multimedia item.
 5. The computer-implemented method of claim 1, wherein the preferences are defined from a group consisting of a person, company, and brand owner.
 6. The computer-implemented method of claim 1, wherein the preferences are defined by a historical baseline associated with the entity, wherein the historical baseline is derived from content depicting or discussing the entity.
 7. The computer-implemented method of claim 1, wherein the multimedia item is a photo and the photo is analyzed using image analysis.
 8. A computer system for automatically preventing dissemination of unwanted personal information via a multimedia item to be posted on a website, the computer system comprising: a memory medium comprising program instructions; a bus coupled to the memory medium; and a processor for executing the program instructions, the instructions causing the system to: analyze, in response to a request for the multimedia item to be posted to the website by a posting user, the multimedia item to determine a context of the multimedia item including one or more specific elements depicted in the multimedia item; identify an entity within the one or more specific elements, the entity being a non-posting user; compare the context to a plurality of preferences related to the entity to automatically detect whether there is a variance between the context and the plurality of preferences, wherein each preference of the plurality of preferences specifies a different element of a group of pre-identified elements that a subject does not want to be associated with, and wherein variances are determined in cases in which at least one computer device automatically detects that there is at least one element of the group of pre-identified elements specified by the subject that the subject does not want to be associated within a set of elements depicted in the multimedia item with the subject; perform a censoring action of a first type on a visible user separable element of the one or more specific elements that is displayed with the entity in the multimedia item prior to posting the multimedia item on the website when a variance is automatically detected that indicates that the visible user separable element is one of the pre-identified elements of a first type that the subject does not want to be associated with; and perform a different censoring action of a second type on a visible user separable element of the one or more specific elements that is displayed with the entity in the multimedia item prior to posting the multimedia item on the website when a variance is automatically detected that indicates that the visible user separable element is one of the pre-identified elements of a second type that the subject does not want to be associated with.
 9. The computer system of claim 8, wherein the entity is selected from a group consisting of a person, logo, trademark, and brand.
 10. The computer system of claim 9, wherein the preferences are defined from a group consisting of a person, company, and brand owner.
 11. The computer system of claim 9, wherein the entity is a person and the context includes a cognitive assessment of the person performed based on a social media profile of the person.
 12. The computer system of claim 8, wherein the censoring action and the different censoring action are each selected from a group consisting of disallowing the posting of the multimedia item, sending a request for permission for an approval to post the multimedia item, and obscuring or removing the entity from the multimedia item.
 13. The computer system of claim 8, wherein the preferences are defined by a historical baseline associated with the entity, wherein the historical baseline is derived from content depicting or discussing the entity.
 14. The computer system of claim 8, wherein the multimedia item is a photo and the photo is analyzed using image analysis.
 15. A computer program product for automatically preventing dissemination of unwanted personal information via a multimedia item to be posted on a website, and program instructions stored on the computer readable storage device, to: analyze, in response to a request for the multimedia item to be posted to the website by a posting user, the multimedia item to determine a context of the multimedia item including one or more specific elements depicted in the multimedia item; identify an entity within the one or more specific elements, the entity being a non-posting user; compare the context to a plurality of preferences related to the entity to automatically detect whether there is a variance between the context and the plurality of preferences, wherein each preference of the plurality of preferences specifies a different element of a group of pre-identified elements that a subject does not want to be associated with, and wherein variances are determined in cases in which at least one computer device automatically detects that there is at least one element of the group of pre-identified elements specified by the subject that the subject does not want to be associated within a set of elements depicted in the multimedia item with the subject; perform a censoring action of a first type on a visible user separable element of the one or more specific elements that is displayed with the entity in the multimedia item prior to posting the multimedia item on the website when a variance is automatically detected that indicates that the visible user separable element is one of the pre-identified elements of a first type that the subject does not want to be associated with; and perform a different censoring action of a second type on a visible user separable element of the one or more specific elements that is displayed with the entity in the multimedia item prior to posting the multimedia item on the website when a variance is automatically detected that indicates that the visible user separable element is one of the pre-identified elements of a second type that the subject does not want to be associated with.
 16. The computer program product of claim 15, wherein the entity is selected from a group consisting of a person, logo, trademark, and brand.
 17. The computer program product of claim 16, wherein the entity is a person and the context includes a cognitive assessment of the person performed based on a social media profile of the person.
 18. The computer program product of claim 15, wherein the censoring action and the different censoring action are each selected from a group consisting of disallowing the posting of the multimedia item, sending a request for permission for an approval to post the multimedia item, and obscuring or removing the entity from the multimedia item.
 19. The computer program product of claim 15, wherein the preferences are defined by a historical baseline associated with the entity, wherein the historical baseline is derived from content depicting or discussing the entity.
 20. The computer program product of claim 15, wherein the website is selected from a group consisting of a social media site, blog, and forum. 